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Module 2 Lesson 2 - Math Basics for Modeling and the Water Pumping Base Model

Posted January 2, 2020 by wellina

In this lesson, students will become familiar with the Water Pumping base model. Students will (1) review math basics necessary for understanding the model, (2) decode the base model, run simple experiments, make observations, and identify complex systems characteristic of the model (3) add an evaporation slider and run an experiment, using the slider, and (4) finally, be asked to think of ways to improve the model, based on what they know about the hydrologic cycle and water as a resource.

Alternate activities to introduce Project GUTS

Posted July 27, 2018 by turtle

Sometimes, teachers have a students who have already participated in Project GUTS introductory activities, and want to use something different, or want another activity to expand a lesson. Below are links to some alternate activities, both hands-on and on-line, for you to explore.

CS in Science Module 4: Chemical Reactions (for StarLogo Nova 2.0)

Posted July 27, 2018 by turtle

This Physical Science module explores chemical reactions: the conditions under which they occur, the evidence that a chemical reaction has taken place, limiting reactants versus reactants in excess, and when chemical reactions stop. The base model for this unit simulates the chemical reaction between silver nitrate and copper. The pacing guide and models have been updated for StarLogo Nova 2.0 (HTML5/JavaScript version).

CS in Science Module 2: Shared Water Resources (StarLogo Nova 2.0)

Posted July 27, 2018 by turtle

In this Earth Science module, students will investigate the importance of ground water and the impacts of water usage on aquifer levels. They will also explore how to model important parts of the water cycle, including evaporation and infiltration of water into different types of soils to recharge the aquifers. This updated resource corresponds to StarLogo Nova 2.0 (HTML5/JavaScript version), a modeling and simulation environment developed at the Massachusetts Institute of Technology.

CS in Science Module 3: Ecosystems as Complex Systems (for StarLogo Nova 2.0)

Posted July 27, 2018 by turtle

This Life Science module begins with an exploration of a simple predator-prey model to consider who eats whom—and what happens when one population grows faster than another. Students develop their own model of a local ecosystem and learn about ecosystem dynamics, producers and consumers, and interdependent relationships within an ecosystem. This module has been updated for StarLogo Nova 2.0 (HTML5/JavaScript version, updated 2017).

Debugging Challenges for StarLogo Nova

Posted July 27, 2018 by turtle

These challenges ask students to identify and correct common coding errors within StarLogo Nova programs. The first challenge is generic, all others relate to the content area module from CS in Science. Students like to solve the problems and fix the code, and learn about debugging skills while engaging further with content area modules. It is also a good review for instructions/facilitators before building code with students.

Coding Challenges

Posted July 27, 2018 by turtle

Coding Challenge are a series of short challenges that focus on improving coding skills using StarLogo Nova. Each set of challenges focuses on a specific concept: degrees & heading, x & y coordinates and randomness, conditions including absolute value and percent chance, adding color to the terrain and repeat loops, using the z coordinate, and other computer science concepts (logic blocks, data collection),.

Walk & Turn for StarLogo Nova

Posted July 27, 2018 by turtle

This is the CS in Science, Module 1, Activity 1 activity. Students participate in an activity acting as agents, then view a computer model, to introduce concepts of computer science and complex adaptive systems.

CS in Science Module 5: Greenhouse Gases

Posted July 27, 2018 by turtle

This Earth Science module explores greenhouse gases and climate change. The global climate system is presented as a complex system with feedback loops and interconnected processes. The goal is to clarify what is known, what scientists believe is happening and how climate change impacts our environment and species. Students use, modify, and customize an agent-based model of the build-up of greenhouse gases and its impact on the climate. This is an alternative to the Module 2: Water Resources

CS in Science Module 1: Introduction to Computer Modeling and Simulation (StarLogo Nova 2.0)

Posted July 27, 2018 by turtle

Module 1 introduces basic concepts in modeling complex systems through hands-on activities and participatory simulations. A scaffolded series of highly-engaging design and build activities guide students through developing their first computer model in StarLogo Nova 2.0, a modeling and simulation environment developed at the Massachusetts Institute of Technology.

Module 2 Lesson 1 - Introduction to Water as a Shared Resource

Posted November 21, 2019 by wellina

In this lesson students will engage in discussion about water resources and group decision making, stimulated by a video and a participatory simulation that serve to highlight group decision-making dynamics. The video will serve to get students thinking about water resources and the difficulties some people their age face in obtaining safe drinking water. The two activities will provide background on how communities make decisions, especially when dealing with a shared resource like water.

Skill Building Deck

Posted June 12, 2019 by ilee

A slide deck of exercises to build CS and decoding skills

Module 1 Lesson 2 - Introduction to StarLogo Nova and Building Flower Turtles

Posted November 3, 2019 by wellina

In this lesson students will participate in two activities. The first activity is a guided introduction to the StarLogo Nova simulation environment. In the second activity, students will learn a few simple commands and then create their first computer program. Students will progress from single turtle explorations to instructing many turtles to follow their commands in parallel.

Module 1 Lesson 3 - Conditionals with Trailblazer and Bumper Turtles

Posted November 17, 2019 by wellina

In this lesson students will participate in two activities. In the first they will
learn about conditionals, logic, and Boolean expressions as they guide an
agent through a puzzle. They also consider the best path / solution and the degree of universality of their solution. In the second activity, students will learn a few simple commands and then starting with a basic project, implement a Bumper Turtles program in which agents respond to their environment.

Module 1 Lesson 4 - Probability with Dice and Data and Colliding Turtles

Posted November 17, 2019 by wellina

In this lesson students will participate in two activities. In the first activity, students will learn about probability, how it is implemented in StarLogo Nova, and use probability to implement chance behavior in agent movement. In the second activity, students will create a Colliding Turtles project in which turtles react to other turtles upon collision. The wrap-up discussion covers what probability is used for in computer modeling and simulation.

Module 1 Lesson 5 - Modeling the Spread of Disease

Posted November 17, 2019 by wellina

In this lesson students will convert their Colliding Turtles model into a simple Epidemic model by adding slider widgets for transmission rate and recovery rate. The Contagion model represents a very simplified version of an epidemic or spread of a disease. Two variables will be created: transmission rate and recovery rate. Students will later use this model to run experiments to determine if disease will spread throughout a virtual population in different scenarios.

Module 1 Lesson 6 - Adding Instrumentation to your Model and Running Experiments

Posted November 21, 2019 by wellina

In this lesson students will add instrumentation to their model so they can collect quantitative data on the spread of disease. Students will use this model to run experiments to determine if disease will spread throughout a
virtual population under different initial conditions and different scenarios.

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